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Intensity mappings within the context of near-sensor image processing.

A Aström, R Forchheimer, P E Danielsson

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |February 16, 2008
    PubMed
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    Near-sensor image processing (NSIP) offers flexible intensity mapping via variable thresholds or delays. This approach efficiently performs adaptive mapping, including histogram equalization, enhancing sensor processing power.

    Area of Science:

    • Sensor technology
    • Image processing
    • Computational imaging

    Background:

    • The original near-sensor image processing (NSIP) maps sensor element intensity to time, with threshold-crossing time inversely proportional to intensity.
    • Existing NSIP methods may require alternative intensity-time mappings for specific applications.

    Discussion:

    • This study explores achieving alternative intensity-time mappings in NSIP by incorporating delays or adjusting threshold voltages.
    • Variable threshold voltage is identified as a more efficient method for linear mapping, optimizing sensor processing power utilization.

    Key Insights:

    • Adaptive mapping, such as histogram equalization, can be performed with minimal computational overhead within the NSIP framework.
    • NSIP facilitates straightforward implementation of other histogram-based, data-dependent mappings.

    Related Experiment Videos

    Outlook:

    • Further research can explore advanced adaptive algorithms for NSIP.
    • The NSIP concept holds potential for real-time, on-chip image analysis and feature extraction.